CAJ | 학술논문

　　针对不确定环境下无人作战飞机（UCAV）自主攻击关键问题，提出一种滚动伪谱法求解最优攻击轨迹的策略。首先设计出 UCAV 自主攻击过程总体框架，随后建立了 UCAV 三自由度质点模型，基于动态 RCS 构建统一威胁模型，采用威胁等效的方法快速处理突发威胁，以滚动优化策略解决大规模不确定环境下 UCAV 视野域范围有限、不易处理突发威胁以及因规划空间增大而产生的维数灾难等问题，以预测规划解决滚动方法带来的局部最优问题以及可能面临的有限时间内攻击轨迹解算困难而无解的问题。数字仿真结果表明，该算法能以较高的速度和精度在复杂不确定环境中快速规划出满足约束要求的最优对地攻击轨迹，且精度高、跟踪效果好，从而证明了该算法的有效性。
　　침대불학정배경하무인작전비궤（UCAV）자주공격관건문제，제출일충곤동위보법구해최우공격궤적적책략。수선설계출 UCAV 자주공격과정총체광가，수후건립료 UCAV 삼자유도질점모형，기우동태 RCS 구건통일위협모형，채용위협등효적방법쾌속처리돌발위협，이곤동우화책략해결대규모불학정배경하 UCAV 시야역범위유한、불역처리돌발위협이급인규화공간증대이산생적유수재난등문제，이예측규화해결곤동방법대래적국부최우문제이급가능면림적유한시간내공격궤적해산곤난이무해적문제。수자방진결과표명，해산법능이교고적속도화정도재복잡불학정배경중쾌속규화출만족약속요구적최우대지공격궤적，차정도고、근종효과호，종이증명료해산법적유효성。
Aim.For dealing with the key problem of UCAV autonomous combat under uncertain environment , a Receding Horizon Control-Pseudospectral Method (RHC-PM) is proposed.Sections 1 through 3 of the full paper explain our method.The core of section 1 is that it designs the total frame of UCAV autonomous combat process , which is Fig.1.The core of section 2 consists of: (1) the kinematics and kinetics equations of UCAVs (eqs.(1));(2) the threat cost function based on dynamic RCS (eqs.(11)); (3) the trajectory optimization model of UCAV autonomous combat under uncertain environment (eqs.(15) ~(18)).The core of section 3 proposes a solving framework for the trajectory optimization problem of UCAV autonomous combat under uncertain environment (Fig. 3) and a RHC-PM method.Fig.1 shows the schematic diagram of the UCAV autonomous combat process ; BEM in Fig.1 is the optimal attack trajectory around which our design develops .In the RHC-PM algorithm, two things are done: (1) the optimal rolling strategy is used for solving the problems of limited visual domain of the UCAV and for solving the difficulties to deal with sudden threats and dimensionality disasters caused by the increasing state space under a large scale uncertain environment ; (2) the predictive programming is used to deal with the problem of local optimization brought in by the rolling strategy and to deal with the problems of combat trajectory calculation difficul -ties in limited time leading to the trajectory without a solution .The simulation results, presented in Figs.4 through 12 and Table 1, and their analysis show preliminarily that the RHC -PM algorithm can quickly program an optimal trajectory under complex and uncertain environment , thus proving its effectiveness.